Static Magnetic Order and Superfluid Density of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>R</mml:mi><mml:mi>FeAs</mml:mi><mml:mo mathvariant="bold" stretchy="false">(</mml:mo><mml:mi mathvariant="bold">O</mml:mi><mml:mo>,</mml:mo><mml:mi mathvariant="bold">F</mml:mi><mml:mo mathvariant="bold" stretchy="false">)</mml:mo></mml:math>(<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>R</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mi>La</mml:mi><mml:mo>,</mml:mo><mml:mi>Nd</mml:mi><mml:mo>,</mml:mo><mml:mi>Ce</mml:mi></mml:math>) and LaFePO Studied by Muon Spin Relaxation: Unusual Similarities with the Behavior of Cuprate Superconductors
Bibliographic record
Abstract
Muon spin relaxation measurements in iron-oxypnictide systems have revealed: (1) commensurate long-range order in undoped LaFeAsO; (2) a Bessel function line shape in $\mathrm{LaFeAs}({\mathrm{O}}_{0.97}{\mathrm{F}}_{0.03})$ which indicates possible incommensurate or stripe magnetism; (3) anomalous weak magnetism existing in superconducting LaFePO, $\mathrm{CeFeAs}({\mathrm{O}}_{0.084}{\mathrm{F}}_{0.16})$, and $\mathrm{NdFeAs}({\mathrm{O}}_{0.88}{\mathrm{F}}_{0.12})$ but absent in superconducting $\mathrm{LaFeAs}({\mathrm{O}}_{0.92}{\mathrm{F}}_{0.08})$; and (4) scaling of the superfluid density with ${T}_{c}$ in the Ce-, La-, and Nd-FeAs superconductors following a nearly linear relationship found in cuprates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".